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Distributed Graph Coloring - Fundamentals and Recent Developments (Paperback)
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Distributed Graph Coloring - Fundamentals and Recent Developments (Paperback)
Series: Synthesis Lectures on Distributed Computing Theory
Expected to ship within 10 - 15 working days
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The focus of this monograph is on symmetry breaking problems in the
message-passing model of distributed computing. In this model a
communication network is represented by a n-vertex graph G = (V,E),
whose vertices host autonomous processors. The processors
communicate over the edges of G in discrete rounds. The goal is to
devise algorithms that use as few rounds as possible. A typical
symmetry-breaking problem is the problem of graph coloring. Denote
by ? the maximum degree of G. While coloring G with ? + 1 colors is
trivial in the centralized setting, the problem becomes much more
challenging in the distributed one. One can also compromise on the
number of colors, if this allows for more efficient algorithms.
Other typical symmetry-breaking problems are the problems of
computing a maximal independent set (MIS) and a maximal matching
(MM). The study of these problems dates back to the very early days
of distributed computing. The founding fathers of distributed
computing laid firm foundations for the area of distributed
symmetry breaking already in the eighties. In particular, they
showed that all these problems can be solved in randomized
logarithmic time. Also, Linial showed that an O(?2)-coloring can be
solved very efficiently deterministically. However, fundamental
questions were left open for decades. In particular, it is not
known if the MIS or the (? + 1)-coloring can be solved in
deterministic polylogarithmic time. Moreover, until recently it was
not known if in deterministic polylogarithmic time one can color a
graph with significantly fewer than ?2 colors. Additionally, it was
open (and still open to some extent) if one can have sublogarithmic
randomized algorithms for the symmetry breaking problems. Recently,
significant progress was achieved in the study of these questions.
More efficient deterministic and randomized (? + 1)-coloring
algorithms were achieved. Deterministic ?1 + o(1)-coloring
algorithms with polylogarithmic running time were devised. Improved
(and often sublogarithmic-time) randomized algorithms were devised.
Drastically improved lower bounds were given. Wide families of
graphs in which these problems are solvable much faster than on
general graphs were identified. The objective of our monograph is
to cover most of these developments, and as a result to provide a
treatise on theoretical foundations of distributed symmetry
breaking in the message-passing model. We hope that our monograph
will stimulate further progress in this exciting area.
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